Open to opportunities

Krishna Gopikakollam

@krishnagopikakollam

Message

AI/ML engineer trainee and software engineer focused on recommend systems and computer vision.

India

Message

What I'm looking for

I’m looking for an AI/ML role where I can build recommendation and computer-vision solutions, collaborate with strong engineers, and keep learning through hands-on projects and mentorship.

I’m an AI/ML engineer with strong software engineering fundamentals, and I’m especially drawn to building practical AI solutions like recommend systems and computer-vision applications. I combine analytical thinking with hands-on implementation to turn models into usable products.

In my current role as an AI Engineer Trainee at a Mobility as a Service (MaaS) organization, I’m focused on recommend systems and “preferences based on AI.” This experience has strengthened how I approach data, similarity-based logic, and model-driven decision making.

Earlier, I worked as a Software Engineer in product and web environments, including building and supporting applications such as a medical consultation platform, a wellness training web solution, and an operational-management web portal. I also supported teams through training—such as “Provided training to Java interns”—and collaborated with cross-functional groups.

Academically and through projects, I’ve built a deep connection to image processing and ML. My work on “Sea Iceberg Detection using Dual Polarized SAR Images” was selected for oral presentation at ICECDS 2017, and I’ve pursued additional learning through AIML, Data Science, and Computer Vision courses and internships.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer Trainee

Current

Mobility as a Service (MaaS)

Oct 2025 - Present (8 months)

Trained on AI recommendation systems focused on preference-based recommendations, applying collaborative filtering approaches using Python. Worked on improving recommendation logic and model-ready feature preparation.

Recommendation Systems Collaborative Filtering Cosine Similarity Python AWS NumPy scikit learn

AI/ML Intern

Elevate-Labs

Nov 2025 - Feb 2026 (3 months)

Completed an internship focused on machine learning and computer vision, emphasizing image processing methods and practical algorithm development. Strengthened foundations in linear algebra and supporting signal/data concepts for ML workflows.

Machine Learning Computer Vision Image Processing Linear Algebra Signal Processing Data & Analytics Python Machine Learning Algorithms

Software Engineer

Magisclouds Solutions

Apr 2020 - Apr 2024 (4 years)

Developed and maintained web applications, including an online consultation platform for medical use and a wellness training application. Supported operational management and scripting for ongoing application delivery.

Java JSP Web Application Development MySQL 5.7+Operational Management Scripting CSS IDE Web Management

Software Engineer (Web)

White Oval Technologies

Aug 2017 - Jun 2018 (10 months)

Built a JavaScript-based web portal for a mall and contributed to front-end updates using HTML5 and CSS3. Assisted with training Java interns and collaborated with cross-functional teams to deliver web improvements.

JavaScript HTML5 CSS3 Web Portals Team Collaboration Java Intern Training Operational Support

Intern (Software Development)

E-Vision Labs

May 2017 - Jul 2017 (2 months)

Completed internship training across core development languages including C, C++, Java, and MATLAB. Gained hands-on experience with web servers using Apache Tomcat 8 and participated in training activities.

C#Java Matlab Apache Tomcat Web Servers Training

Education

Degrees, certifications, and relevant coursework

College of Engineering Karunagappally (KTU)

Master's in Computer Science, Digital Image Processing

Grade: CGPA: 9.5/10

Activities and societies: Paper: 'Sea Iceberg Detection using Dual Polarized SAR Images' selected for oral presentation at ICECDS 2017.

Master’s in Computer Science with a specialization in Digital Image Processing. Completed a project on sea iceberg detection using dual polarized SAR images; authored a paper selected for oral presentation at ICECDS 2017.